Overview

Test summaries let you quickly understand what an individual test covers without digging into every step.

Coverage clusters build on that by giving you a higher-level view of your entire test suite. Using AI, Rainforest groups tests with similar coverage together so you can see patterns, spot gaps, and better understand how well your product is covered.

How it works

Once a day, Rainforest generates vector embeddings based the test summaries, and then groups those tests together in clusters.

You can use these clusters to:

1. Visualize coverage across your application(s): Quickly get a sense for how much test coverage you have for specific features or functionality.
2. Identify gaps in coverage: Spot areas that don't have a cluster that may need new or updated tests
3. Filter your test suite:View the specific tests associated by Features if you’d rather see coverage based on your own feature-based organization.

Known Limitations

1. AI is not going to be perfect, but it should give you a general idea:

   As will all things AI, it’s worth noting that this feature is likely not as accurate as you would be if you went through all your tests and documented yourself. The goal here is to give you an overview of coverage, not to be a perfect representation of coverage. One thing to keep in mind here; AI clusters could be used as a starting point for feature-based organization

2. Clusters are generated once a day to account for new/changing tests:

   Clusters will change each day so we can incorporate new tests and any major edits to tests that would change the text summaries.

3. Clusters are only generated for tests run in the last 30 days

4. Clusters are only generated for automated tests: We don’t summarize or cluster Tester Community tests.

If you have any questions, reach out to us at[email protected].